Project Overview:

The goal of this team is to provide continuous long-term improvement to data center products and processes via escalation support & root cause investigation, analysis of production data trends & significant issues, corrective & preventive action, and proactive engagement with the partner teams.

Overall Responsibilities:

• Use tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.

1. Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.
2. Prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.
3. Collaborate/work with cross functional teams to understand data needs and enable making informed decisions based on data insights.
4. Filtering data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.
5. Perform first level investigation of fleet data to identify issues associated with deployment/production and then create bugs to handoff to the correct partner teams for resolution.
6. Execute well-defined projects under limited guidance and communicate progress, risks, and mitigations
7. Consolidate information from tickets, bugs, documents into tracking sheet for team members and stakeholders
8. Effectively monitor and communicate progress, risks, and mitigations.
9. Perform technical due diligence to evaluate engineering scope, determine milestones, timeframe, and engineering resourcing needs.

Skill/Experience/Education

Mandatory

- Bachelor’s degree in mechanical, Electrical, Industrial, Materials, or relevant engineering discipline or equivalent practical experience

- 5 years’ experience in program management

- Experience in data analysis and visualization using SQL, or JMP, or Python

- People Skills to work with and influence others

- Experience managing medium to large projects

Desired

- Experience working in a data center environment

- Experience managing large complex projects

- Experience with New Product Introduction (NPI)